AI for family offices, deployed with principal-grade discretion.
Family-office data is the most sensitive class of financial information in the market. We build AI agents for SFOs and MFOs that live inside your perimeter, leak no principal-related data to public AI vendors, and integrate with the advisor stack you already trust.
Your data sensitivity is reputational. So is ours.
Most regulated industries hit AI with a compliance question. Family offices hit AI with a discretion question. The regulatory floor is lower; the discretionary ceiling is higher. Principals do not want their financial situation, their family decisions, or their philanthropy data living in a public AI vendor's logs, full stop — regardless of whether a regulator technically requires that.
We treat discretion as an architectural requirement, not a marketing claim. Our default architecture means no third-party AI vendor sees principal-related data, ever. Audit logs live with the office. Engagements are conducted with NDAs on the engineering team, not just at the firm level.
We work with single-family offices and multi-family offices. For multi-family offices, we design strict cross-family isolation: cryptographic separation, per-family audit boundaries, anonymized aggregation only with explicit principal consent.
Where AI earns its keep in a family office.
Portfolio aggregation agents
Across custodians, asset classes, private investments, real estate, alternatives. Daily, weekly, ad-hoc principal-ready summaries.
Wealth-planning copilots
Tax-aware scenario modeling, generational transfer planning, philanthropy strategy. Outputs structured for principal review and advisor handoff.
Document automation
Trust documents, family constitutions, governance memos, council minutes. Drafts in the office's voice and standards.
Investment opportunity screening
Direct deal flow, fund opportunities, real-estate listings — automated screening against the family's investment principles and risk parameters.
Family communication & IR copilot
Family newsletter drafting, principal-Q&A, generation-2/3 onboarding materials. Maintains the office's voice across communications.
Operational efficiency & document retrieval
Twenty years of office records, suddenly searchable. Natural-language retrieval over decades of correspondence, decisions, and rationale.
Small, principal-led engagements. Senior engineers throughout.
Our family-office engagements are smaller and more principal-led than our institutional work. A Discovery Sprint typically involves one senior AI engineer and our compliance lead, working directly with the office's principal or COO. We do not parade junior engineers through your office.
Build engagements use the same senior team. We don't hand off to a junior delivery group post-sale; the engineer who scoped your work also ships it.
For multi-family offices, the architecture is what enables family isolation. We do that work once, well, and the office gets to add families without re-engineering the AI layer each time.
Frequently asked questions
Why is family-office AI different from PE AI?
PE firms have institutional infrastructure: ops teams, IT, compliance functions, regulators. Family offices often don't — even at scale, governance is principal-led, and discretion is the operating principle. We adapt our delivery model: smaller stakeholder set, faster decisions, but tighter expectations on confidentiality, conflict avoidance, and avoiding ever being part of a story.
Can your AI agents handle multi-family aggregation without leaking across families?
Yes — this is one of the patterns we're built for. Multi-tenant inside the office, but with cryptographic and audit-level separation between families. Each family's data flows are isolated; cross-family analysis happens only on anonymized, aggregated layers with explicit principal consent.
What about UHNW data sensitivity beyond regulatory requirements?
Most UHNW data sensitivity is reputational and personal, not regulatory. The regulatory bar is lower than for, say, a regulated bank — the discretionary bar is higher. We design for the discretionary bar. Our default architecture means no third-party AI vendor sees principal-related data, ever. Audit logs live with the office, not in our cloud.
Do you work with our existing advisors (legal, tax, investment)?
Yes — we typically build into the existing advisor stack rather than replacing it. The AI layer connects to your existing portfolio aggregation system, your document management, your communication tools. Advisors get faster, better-organized inputs; the office keeps full control of what gets shared with whom.